↓ Skip to main content

De novo transcriptome reconstruction and annotation of the Egyptian rousette bat

Overview of attention for article published in BMC Genomics, December 2015
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
De novo transcriptome reconstruction and annotation of the Egyptian rousette bat
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2124-x
Pubmed ID
Authors

Albert K. Lee, Kirsten A. Kulcsar, Oliver Elliott, Hossein Khiabanian, Elyse R. Nagle, Megan E.B. Jones, Brian R. Amman, Mariano Sanchez-Lockhart, Jonathan S. Towner, Gustavo Palacios, Raul Rabadan

Abstract

The Egyptian Rousette bat (Rousettus aegyptiacus), a common fruit bat species found throughout Africa and the Middle East, was recently identified as a natural reservoir host of Marburg virus. With Ebola virus, Marburg virus is a member of the family Filoviridae that causes severe hemorrhagic fever disease in humans and nonhuman primates, but results in little to no pathological consequences in bats. Understanding host-pathogen interactions within reservoir host species and how it differs from hosts that experience severe disease is an important aspect of evaluating viral pathogenesis and developing novel therapeutics and methods of prevention. Progress in studying bat reservoir host responses to virus infection is hampered by the lack of host-specific reagents required for immunological studies. In order to establish a basis for the design of reagents, we sequenced, assembled, and annotated the R. aegyptiacus transcriptome. We performed de novo transcriptome assembly using deep RNA sequencing data from 11 distinct tissues from one male and one female bat. We observed high similarity between this transcriptome and those available from other bat species. Gene expression analysis demonstrated clustering of expression profiles by tissue, where we also identified enrichment of tissue-specific gene ontology terms. In addition, we identified and experimentally validated the expression of novel coding transcripts that may be specific to this species. We comprehensively characterized the R. aegyptiacus transcriptome de novo. This transcriptome will be an important resource for understanding bat immunology, physiology, disease pathogenesis, and virus transmission.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
France 1 1%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 22%
Student > Ph. D. Student 20 20%
Student > Bachelor 10 10%
Student > Master 10 10%
Other 7 7%
Other 19 19%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 35%
Biochemistry, Genetics and Molecular Biology 18 18%
Immunology and Microbiology 8 8%
Medicine and Dentistry 7 7%
Nursing and Health Professions 3 3%
Other 12 12%
Unknown 17 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 December 2015.
All research outputs
#17,778,101
of 22,834,308 outputs
Outputs from BMC Genomics
#7,569
of 10,655 outputs
Outputs of similar age
#263,925
of 388,302 outputs
Outputs of similar age from BMC Genomics
#294
of 359 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 388,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.